1 00:00:01,100 --> 00:00:04,519 covering the week's top textbooks like 2 00:00:04,519 --> 00:00:04,529 covering the week's top textbooks like 3 00:00:04,529 --> 00:00:07,639 covering the week's top textbooks like Linux - a new paper published by Disney 4 00:00:07,639 --> 00:00:07,649 Linux - a new paper published by Disney 5 00:00:07,649 --> 00:00:09,980 Linux - a new paper published by Disney research describes a fully automated 6 00:00:09,980 --> 00:00:09,990 research describes a fully automated 7 00:00:09,990 --> 00:00:12,049 research describes a fully automated neural network based method for swapping 8 00:00:12,049 --> 00:00:12,059 neural network based method for swapping 9 00:00:12,059 --> 00:00:15,320 neural network based method for swapping faces in photos and videos the first 10 00:00:15,320 --> 00:00:15,330 faces in photos and videos the first 11 00:00:15,330 --> 00:00:17,029 faces in photos and videos the first method that results in high resolution 12 00:00:17,029 --> 00:00:17,039 method that results in high resolution 13 00:00:17,039 --> 00:00:19,760 method that results in high resolution results of sufficient quality to be used 14 00:00:19,760 --> 00:00:19,770 results of sufficient quality to be used 15 00:00:19,770 --> 00:00:21,320 results of sufficient quality to be used in film and TV 16 00:00:21,320 --> 00:00:21,330 in film and TV 17 00:00:21,330 --> 00:00:24,290 in film and TV the researchers specifically intend this 18 00:00:24,290 --> 00:00:24,300 the researchers specifically intend this 19 00:00:24,300 --> 00:00:26,089 the researchers specifically intend this tech for use in replacing it and 20 00:00:26,089 --> 00:00:26,099 tech for use in replacing it and 21 00:00:26,099 --> 00:00:28,310 tech for use in replacing it and existing actors performance with a 22 00:00:28,310 --> 00:00:28,320 existing actors performance with a 23 00:00:28,320 --> 00:00:30,919 existing actors performance with a substitute actors face for instance 24 00:00:30,919 --> 00:00:30,929 substitute actors face for instance 25 00:00:30,929 --> 00:00:33,440 substitute actors face for instance wendy aging or increasing the age of 26 00:00:33,440 --> 00:00:33,450 wendy aging or increasing the age of 27 00:00:33,450 --> 00:00:35,900 wendy aging or increasing the age of someone or potentially when portraying 28 00:00:35,900 --> 00:00:35,910 someone or potentially when portraying 29 00:00:35,910 --> 00:00:38,600 someone or potentially when portraying an actor who has passed away they also 30 00:00:38,600 --> 00:00:38,610 an actor who has passed away they also 31 00:00:38,610 --> 00:00:40,459 an actor who has passed away they also suggest it could be used for replacing 32 00:00:40,459 --> 00:00:40,469 suggest it could be used for replacing 33 00:00:40,469 --> 00:00:43,310 suggest it could be used for replacing the faces of stunt doubles in cases 34 00:00:43,310 --> 00:00:43,320 the faces of stunt doubles in cases 35 00:00:43,320 --> 00:00:45,080 the faces of stunt doubles in cases where the conditions of a scene call for 36 00:00:45,080 --> 00:00:45,090 where the conditions of a scene call for 37 00:00:45,090 --> 00:00:47,900 where the conditions of a scene call for them to be used this method is unique 38 00:00:47,900 --> 00:00:47,910 them to be used this method is unique 39 00:00:47,910 --> 00:00:49,700 them to be used this method is unique from other approaches in a number of 40 00:00:49,700 --> 00:00:49,710 from other approaches in a number of 41 00:00:49,710 --> 00:00:52,369 from other approaches in a number of ways including that any face used in the 42 00:00:52,369 --> 00:00:52,379 ways including that any face used in the 43 00:00:52,379 --> 00:00:54,380 ways including that any face used in the set can be swapped with any recorded 44 00:00:54,380 --> 00:00:54,390 set can be swapped with any recorded 45 00:00:54,390 --> 00:00:56,240 set can be swapped with any recorded performance making it possible to 46 00:00:56,240 --> 00:00:56,250 performance making it possible to 47 00:00:56,250 --> 00:00:58,939 performance making it possible to relatively easily re image the actors on 48 00:00:58,939 --> 00:00:58,949 relatively easily re image the actors on 49 00:00:58,949 --> 00:01:02,510 relatively easily re image the actors on demand the other is that it recreates 50 00:01:02,510 --> 00:01:02,520 demand the other is that it recreates 51 00:01:02,520 --> 00:01:04,520 demand the other is that it recreates contrast and lighting conditions to 52 00:01:04,520 --> 00:01:04,530 contrast and lighting conditions to 53 00:01:04,530 --> 00:01:06,170 contrast and lighting conditions to ensure the actor looks like they are 54 00:01:06,170 --> 00:01:06,180 ensure the actor looks like they are 55 00:01:06,180 --> 00:01:08,690 ensure the actor looks like they are actually present in the same conditions 56 00:01:08,690 --> 00:01:08,700 actually present in the same conditions 57 00:01:08,700 --> 00:01:11,300 actually present in the same conditions as the scene you can check out the 58 00:01:11,300 --> 00:01:11,310 as the scene you can check out the 59 00:01:11,310 --> 00:01:13,570 as the scene you can check out the results for yourself in this video as 60 00:01:13,570 --> 00:01:13,580 results for yourself in this video as 61 00:01:13,580 --> 00:01:15,920 results for yourself in this video as you can see there's still a hint of 62 00:01:15,920 --> 00:01:15,930 you can see there's still a hint of 63 00:01:15,930 --> 00:01:18,020 you can see there's still a hint of uncanny valley going on here but the 64 00:01:18,020 --> 00:01:18,030 uncanny valley going on here but the 65 00:01:18,030 --> 00:01:19,640 uncanny valley going on here but the researchers acknowledge that in their 66 00:01:19,640 --> 00:01:19,650 researchers acknowledge that in their 67 00:01:19,650 --> 00:01:22,310 researchers acknowledge that in their paper calling this a major step toward 68 00:01:22,310 --> 00:01:22,320 paper calling this a major step toward 69 00:01:22,320 --> 00:01:24,320 paper calling this a major step toward photorealistic face swapping that can 70 00:01:24,320 --> 00:01:24,330 photorealistic face swapping that can 71 00:01:24,330 --> 00:01:26,590 photorealistic face swapping that can successfully bridge the uncanny valley 72 00:01:26,590 --> 00:01:26,600 successfully bridge the uncanny valley 73 00:01:26,600 --> 00:01:29,210 successfully bridge the uncanny valley it is still a lot more realistic than 74 00:01:29,210 --> 00:01:29,220 it is still a lot more realistic than 75 00:01:29,220 --> 00:01:30,770 it is still a lot more realistic than other attempts which is especially 76 00:01:30,770 --> 00:01:30,780 other attempts which is especially 77 00:01:30,780 --> 00:01:32,240 other attempts which is especially apparent when you've seen the 78 00:01:32,240 --> 00:01:32,250 apparent when you've seen the 79 00:01:32,250 --> 00:01:34,249 apparent when you've seen the side-by-side comparisons with other 80 00:01:34,249 --> 00:01:34,259 side-by-side comparisons with other 81 00:01:34,259 --> 00:01:37,219 side-by-side comparisons with other techniques most notably it works at much 82 00:01:37,219 --> 00:01:37,229 techniques most notably it works at much 83 00:01:37,229 --> 00:01:38,960 techniques most notably it works at much higher resolution which is key for 84 00:01:38,960 --> 00:01:38,970 higher resolution which is key for 85 00:01:38,970 --> 00:01:41,620 higher resolution which is key for actual entertainment industry use 86 00:01:41,620 --> 00:01:41,630 actual entertainment industry use 87 00:01:41,630 --> 00:01:43,639 actual entertainment industry use considering the example of using this 88 00:01:43,639 --> 00:01:43,649 considering the example of using this 89 00:01:43,649 --> 00:01:45,800 considering the example of using this technique for a stunt double the real is 90 00:01:45,800 --> 00:01:45,810 technique for a stunt double the real is 91 00:01:45,810 --> 00:01:47,810 technique for a stunt double the real is realism could come across as being 92 00:01:47,810 --> 00:01:47,820 realism could come across as being 93 00:01:47,820 --> 00:01:51,050 realism could come across as being incredibly realistic the examples 94 00:01:51,050 --> 00:01:51,060 incredibly realistic the examples 95 00:01:51,060 --> 00:01:54,469 incredibly realistic the examples presented are a super small sample so it 96 00:01:54,469 --> 00:01:54,479 presented are a super small sample so it 97 00:01:54,479 --> 00:01:56,330 presented are a super small sample so it remains to be seen how broadly this can 98 00:01:56,330 --> 00:01:56,340 remains to be seen how broadly this can 99 00:01:56,340 --> 00:01:59,270 remains to be seen how broadly this can be applied subjects used appear to be 100 00:01:59,270 --> 00:01:59,280 be applied subjects used appear to be 101 00:01:59,280 --> 00:02:01,520 be applied subjects used appear to be primarily white for instance also 102 00:02:01,520 --> 00:02:01,530 primarily white for instance also 103 00:02:01,530 --> 00:02:03,410 primarily white for instance also there's always the question of the 104 00:02:03,410 --> 00:02:03,420 there's always the question of the 105 00:02:03,420 --> 00:02:05,600 there's always the question of the ethical implication of any use of face 106 00:02:05,600 --> 00:02:05,610 ethical implication of any use of face 107 00:02:05,610 --> 00:02:08,029 ethical implication of any use of face swapping technology especially in video 108 00:02:08,029 --> 00:02:08,039 swapping technology especially in video 109 00:02:08,039 --> 00:02:10,100 swapping technology especially in video as it could be used to fabricate 110 00:02:10,100 --> 00:02:10,110 as it could be used to fabricate 111 00:02:10,110 --> 00:02:12,930 as it could be used to fabricate credible video or photographic evidence 112 00:02:12,930 --> 00:02:12,940 credible video or photographic evidence 113 00:02:12,940 --> 00:02:15,840 credible video or photographic evidence thing that didn't actually happen given 114 00:02:15,840 --> 00:02:15,850 thing that didn't actually happen given 115 00:02:15,850 --> 00:02:17,850 thing that didn't actually happen given however that the technology is now in 116 00:02:17,850 --> 00:02:17,860 however that the technology is now in 117 00:02:17,860 --> 00:02:20,250 however that the technology is now in development from multiple quarters it's 118 00:02:20,250 --> 00:02:20,260 development from multiple quarters it's 119 00:02:20,260 --> 00:02:22,140 development from multiple quarters it's essentially long past the time for 120 00:02:22,140 --> 00:02:22,150 essentially long past the time for 121 00:02:22,150 --> 00:02:23,550 essentially long past the time for debate about the ethics of its 122 00:02:23,550 --> 00:02:23,560 debate about the ethics of its 123 00:02:23,560 --> 00:02:26,820 debate about the ethics of its development and exploration instead it's 124 00:02:26,820 --> 00:02:26,830 development and exploration instead it's 125 00:02:26,830 --> 00:02:28,890 development and exploration instead it's welcomed at organizations like Disney 126 00:02:28,890 --> 00:02:28,900 welcomed at organizations like Disney 127 00:02:28,900 --> 00:02:30,720 welcomed at organizations like Disney Research are following the academic path 128 00:02:30,720 --> 00:02:30,730 Research are following the academic path 129 00:02:30,730 --> 00:02:33,210 Research are following the academic path and sharing the results of their work so 130 00:02:33,210 --> 00:02:33,220 and sharing the results of their work so 131 00:02:33,220 --> 00:02:34,680 and sharing the results of their work so that others concerned about its 132 00:02:34,680 --> 00:02:34,690 that others concerned about its 133 00:02:34,690 --> 00:02:37,170 that others concerned about its potential Melissa malicious use and 134 00:02:37,170 --> 00:02:37,180 potential Melissa malicious use and 135 00:02:37,180 --> 00:02:39,510 potential Melissa malicious use and determine ways to flag identify and 136 00:02:39,510 --> 00:02:39,520 determine ways to flag identify and 137 00:02:39,520 --> 00:02:43,950 determine ways to flag identify and protect against any bad actors